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Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing
BACKGROUND: Pregnancy testing in cattle is commonly invasive requiring manual rectal palpation of the reproductive tract that presents risks to the operator and pregnancy. Alternative non-invasive tests have been developed but have not gained popularity due to poor specificity, sensitivity and the i...
Autores principales: | , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3532070/ https://www.ncbi.nlm.nih.gov/pubmed/22985830 http://dx.doi.org/10.1186/1746-6148-8-164 |
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author | Gargiulo, Gaetano D Shephard, Richard W Tapson, Jonathan McEwan, Alistair L Bifulco, Paolo Cesarelli, Mario Jin, Craig Al-Ani, Ahmed Wang, Ning van Schaik, André |
author_facet | Gargiulo, Gaetano D Shephard, Richard W Tapson, Jonathan McEwan, Alistair L Bifulco, Paolo Cesarelli, Mario Jin, Craig Al-Ani, Ahmed Wang, Ning van Schaik, André |
author_sort | Gargiulo, Gaetano D |
collection | PubMed |
description | BACKGROUND: Pregnancy testing in cattle is commonly invasive requiring manual rectal palpation of the reproductive tract that presents risks to the operator and pregnancy. Alternative non-invasive tests have been developed but have not gained popularity due to poor specificity, sensitivity and the inconvenience of sample handling. Our aim is to present the pilot study and proof of concept of a new non invasive technique to sense the presence and age (limited to the closest trimester of pregnancy) of the foetus by recording the electrical and audio signals produced by the foetus heartbeat using an array of specialized sensors embedded in a stand alone handheld prototype device. The device was applied to the right flank (approximately at the intercept of a horizontal line drawn through the right mid femur region of the cow and a vertical line drawn anywhere between lumbar vertebrae 3 to 5) of more than 2000 cattle from 13 different farms, including pregnant and not pregnant, a diversity of breeds, and both dairy and beef herds. Pregnancy status response is given “on the spot” from an optimized machine learning algorithm running on the device within seconds after data collection. RESULTS: Using combined electrical and audio foetal signals we detected pregnancy with a sensitivity of 87.6% and a specificity of 74.6% for all recorded data. Those values increase to 91% and 81% respectively by removing files with excessive noise (19%). Foetus ageing was achieved by comparing the detected foetus heart-rate with published tables. However, given the challenging farm environment of a restless cow, correct foetus ageing was achieved for only 21% of the correctly diagnosed pregnant cows. CONCLUSIONS: In conclusion we have found that combining ECG and PCG measurements on the right flank of cattle provides a reliable and rapid method of pregnancy testing. The device has potential to be applied by unskilled operators. This will generate more efficient and productive management of farms. There is potential for the device to be applied to large endangered quadrupeds in captive breeding programs where early, safe and reliable pregnancy diagnosis can be imperative but currently difficult to achieve. |
format | Online Article Text |
id | pubmed-3532070 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-35320702013-01-03 Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing Gargiulo, Gaetano D Shephard, Richard W Tapson, Jonathan McEwan, Alistair L Bifulco, Paolo Cesarelli, Mario Jin, Craig Al-Ani, Ahmed Wang, Ning van Schaik, André BMC Vet Res Methodology Article BACKGROUND: Pregnancy testing in cattle is commonly invasive requiring manual rectal palpation of the reproductive tract that presents risks to the operator and pregnancy. Alternative non-invasive tests have been developed but have not gained popularity due to poor specificity, sensitivity and the inconvenience of sample handling. Our aim is to present the pilot study and proof of concept of a new non invasive technique to sense the presence and age (limited to the closest trimester of pregnancy) of the foetus by recording the electrical and audio signals produced by the foetus heartbeat using an array of specialized sensors embedded in a stand alone handheld prototype device. The device was applied to the right flank (approximately at the intercept of a horizontal line drawn through the right mid femur region of the cow and a vertical line drawn anywhere between lumbar vertebrae 3 to 5) of more than 2000 cattle from 13 different farms, including pregnant and not pregnant, a diversity of breeds, and both dairy and beef herds. Pregnancy status response is given “on the spot” from an optimized machine learning algorithm running on the device within seconds after data collection. RESULTS: Using combined electrical and audio foetal signals we detected pregnancy with a sensitivity of 87.6% and a specificity of 74.6% for all recorded data. Those values increase to 91% and 81% respectively by removing files with excessive noise (19%). Foetus ageing was achieved by comparing the detected foetus heart-rate with published tables. However, given the challenging farm environment of a restless cow, correct foetus ageing was achieved for only 21% of the correctly diagnosed pregnant cows. CONCLUSIONS: In conclusion we have found that combining ECG and PCG measurements on the right flank of cattle provides a reliable and rapid method of pregnancy testing. The device has potential to be applied by unskilled operators. This will generate more efficient and productive management of farms. There is potential for the device to be applied to large endangered quadrupeds in captive breeding programs where early, safe and reliable pregnancy diagnosis can be imperative but currently difficult to achieve. BioMed Central 2012-09-17 /pmc/articles/PMC3532070/ /pubmed/22985830 http://dx.doi.org/10.1186/1746-6148-8-164 Text en Copyright ©2012 Gargiulo et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Methodology Article Gargiulo, Gaetano D Shephard, Richard W Tapson, Jonathan McEwan, Alistair L Bifulco, Paolo Cesarelli, Mario Jin, Craig Al-Ani, Ahmed Wang, Ning van Schaik, André Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing |
title | Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing |
title_full | Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing |
title_fullStr | Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing |
title_full_unstemmed | Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing |
title_short | Pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing |
title_sort | pregnancy detection and monitoring in cattle via combined foetus electrocardiogram and phonocardiogram signal processing |
topic | Methodology Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3532070/ https://www.ncbi.nlm.nih.gov/pubmed/22985830 http://dx.doi.org/10.1186/1746-6148-8-164 |
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